code-split 0.1.0a10

Polyglot structural-analysis platform: extract dependency graphs, visualize coupling, track architectural drift.

code-split

Structural-analysis tool for Rust, Python, JavaScript and TypeScript codebases. Built AI-agent-friendly first — finds where a project has structural problems and hands an actionable shortlist to a human or an AI agent for the actual refactor.

Status: pre-alpha. APIs and output shapes may change without notice. Pin a specific version.

What it finds

• Components that grew too complex and should be split. Per-function and per-module cyclomatic / cognitive / Halstead / MI metrics; flags entities above your threshold.
• Strong coupling between components. Computes fan-in / fan-out / HK on the call and module graphs; surfaces the modules that everything depends on (or that depend on everything).
• Cyclic dependencies. Detects SCCs at module, file and function level — including the silent ones the compiler does not catch.
• Files that are just too big. Raw LOC, public surface size, item / method counts per file.

The tool does not refactor for you. It produces a structured, machine-readable list of problem spots and an offline HTML report a human or an LLM can act on.

CI integration

Runs as a linter. Configure thresholds in code-split.toml; the CLI exits non-zero when the codebase breaches them — so a PR that introduces a new cycle, a function above your cognitive budget, or a file above your LOC limit fails the build.

code-split analyze --plugin rust . && \
  code-split lint --max-cycles 0 --max-cognitive 25 --max-loc 800

Full CLI

Written in Rust — fast, memory-safe, single static-ish binary with no runtime dependencies (no Python, no Node, no JVM, no shared libs to install). One file on PATH, done.

Everything is driven from the command line: analyze → snapshot JSON, report → offline HTML, diff → before/after report between two snapshots, lint → CI gate. No daemon, no language server, no plugin host required at runtime.

HTML report with dynamic diagrams

code-split report writes a single self-contained HTML file with:

• Three interactive levels: modules, files, functions.
• Dagre-laid-out graph with pan/zoom and live filtering.
• Sortable tables per metric; click a node to open its neighbourhood.
• "Prompt generator" panel that copies a ready-to-paste prompt (one for each principle: ADP, SRP, OCP, LSP, ISP, DIP, DRY, KISS, LoD, MISU, CoI, YAGNI; plus Reduce Complexity, Split Components) — feed the prompt + the selected nodes to your AI agent.

No network, no analytics, no telemetry. Open in any browser, share as a file.

Install

Pick a channel:

# universal — shell installer that drops the prebuilt binary on PATH
curl -fsSL https://github.com/ffedoroff/code-split/releases/latest/download/code-split-installer.sh | sh

# Windows
powershell -ExecutionPolicy ByPass -c "irm https://github.com/ffedoroff/code-split/releases/latest/download/code-split-installer.ps1 | iex"

# Rust (Cargo)
cargo install code-split --version 0.1.0-alpha.10

# Node (npm)
npm install -g code-split

# Python (pip / uv / pipx)
pip install code-split

# Docker (Docker Hub)
docker pull ffedoroff/code-split:0.1.0-alpha.10

# Docker (GHCR — no anonymous rate limits)
docker pull ghcr.io/ffedoroff/code-split:0.1.0-alpha.10

All channels ship the same code-split binary built from the same Rust source. Linux (x86_64, aarch64), macOS (x86_64, aarch64), Windows (x86_64).

Quick start

# extract dependency graphs from a workspace
code-split analyze --plugin rust ./path/to/project
# → modules.json / files.json / functions.json

# generate an offline interactive HTML report
code-split report ./snapshots/latest

# before / after refactor comparison
code-split diff ./snapshots/before ./snapshots/after

Built-in plugins: rust (cargo + syn + rust-analyzer), python, javascript (also handles TypeScript). Third-party plugins resolved as code-split-plugin-<name> on PATH.

Documentation

• PRD — product requirements
• DESIGN — technical design
• Principles corpus — Rust / Python / TypeScript principle catalogues used by the prompt generator

License

Apache-2.0.